The document discusses computer architecture and organization. It covers topics like CPU architecture, memory organization, data representation, von Neumann architecture, pipelining, superscalar and VLIW architectures, and comparisons between CISC and RISC instruction sets. The document is presented as lecture slides that progressively cover these topics in greater detail over multiple pages.
Pipelining is an implementation technique where multiple instructions are overlapped in execution. The computer pipeline is divided in stages. Each stage completes a part of an instruction in parallel.
There are situations, called hazards, that prevent the next instruction in the instruction stream from executing during its designated cycle
There are three classes of hazards
Structural hazard
Data hazard
Branch hazard
Pipelining is an implementation technique where multiple instructions are overlapped in execution. The computer pipeline is divided in stages. Each stage completes a part of an instruction in parallel.
There are situations, called hazards, that prevent the next instruction in the instruction stream from executing during its designated cycle
There are three classes of hazards
Structural hazard
Data hazard
Branch hazard
CISC & RISC Architecture with contents
History Of CISC & RISC
Need Of CISC
CISC
CISC Characteristics
CISC Architecture
The Search for RISC
RISC Characteristics
Bus Architecture
Pipeline Architecture
Compiler Structure
Commercial Application
Reference
The timing behavior of the OS must be predictable - services of the OS: Upper bound on the execution time!
2. OS must manage the timing and scheduling
OS possibly has to be aware of task deadlines;
(unless scheduling is done off-line).
3. The OS must be fast
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Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
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Solid waste management & Types of Basic civil Engineering notes by DJ Sir
Types of SWM
Liquid wastes
Gaseous wastes
Solid wastes.
CLASSIFICATION OF SOLID WASTE:
Based on their sources of origin
Based on physical nature
SYSTEMS FOR SOLID WASTE MANAGEMENT:
METHODS FOR DISPOSAL OF THE SOLID WASTE:
OPEN DUMPS:
LANDFILLS:
Sanitary landfills
COMPOSTING
Different stages of composting
VERMICOMPOSTING:
Vermicomposting process:
Encapsulation:
Incineration
MANAGEMENT OF SOLID WASTE:
Refuse
Reuse
Recycle
Reduce
FACTORS AFFECTING SOLID WASTE MANAGEMENT:
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2. (6.2) Central Processing Unit Architecture
· Architecture overview
· Machine organization
– von Neumann
· Speeding up CPU operations
–multiple registers
– pipelining
– superscalar and VLIW
· CISC vs. RISC
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3. (6.3) Computer Architecture
· Major components of a computer
–Central Processing Unit (CPU)
–memory
– peripheral devices
· Architecture is concerned with
– internal structures of each
– interconnections
» speed and width
– relative speeds of components
· Want maximum execution speed
– Balance Admission.e idsh oofltee.nco cmritical issue
4. (6.4) Computer Architecture (continued)
· CPU
– performs arithmetic and logical operations
– synchronous operation
–may consider instruction set architecture
» how machine looks to a programmer
– detailed hardware design
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5. (6.5) Computer Architecture (continued)
· Memory
– stores programs and data
– organized as
» bit
» byte = 8 bits (smallest addressable location)
» word = 4 bytes (typically; machine dependent)
– instructions consist of operation codes and
addresses oprn
oprn
oprn
addr 1
addr 2
addr 2 addr 3
addr 1
addr 1
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6. (6.6) Computer Architecture (continued)
· Numeric data representations
– integer (exact representation)
» sign-magnitude
» 2’s complement
s magnitude
•negative values change 0 to 1, add 1
– floating point (approximate representation)
» scientific notation: 0.3481 x 106
» inherently imprecise
» IEEE Standard 754-1985
s exp significand
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7. (6.7) Simple Machine Organization
· Institute for Advanced Studies machine (1947)
– “von Neumann machine”
» ALU performs transfers between memory and
I/O devices
» note two instructions per memory word
main
memory
Input-
Output
Equipment
Arithmetic -
Logic Unit
Program
Control Unit
0 8 20 28 39
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op code address op code address
8. (6.8) Simple Machine Organization (continued)
· ALU does arithmetic and logical comparisons
– AC = accumulator holds results
– MQ = memory-quotient holds second portion of
long results
– MBR = memory buffer register holds data while
operation executes
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9. (6.9) Simple Machine Organization (continued)
· Program control determines what computer does
based on instruction read from memory
– MAR = memory address register holds address of
memory cell to be read
– PC = program counter; address of next instruction
to be read
– IR = instruction register holds instruction being
executed
– IBR holds right half of instruction read from memory
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10. (6.10) Simple Machine Organization (continued)
· Machine operates on fetch-execute cycle
· Fetch
– PC MAR
– read M(MAR) into MBR
– copy left and right instructions into IR and IBR
· Execute
– address part of IR MAR
– read M(MAR) into MBR
– execute opcode
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12. (6.12) Architecture Families
· Before mid-60’s, every new machine had a
different instruction set architecture
– programs from previous generation didn’t run on
new machine
– cost of replacing software became too large
· IBM System/360 created family concept
– single instruction set architecture
– wide range of price and performance with same
software
· Performance improvements based on different
detailed implementations
– memory path width (1 byte to 8 bytes)
– faster, more complex CPU design
– greater I/O throughput and overlap
· “Software compatibility” now a major issue
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– partially offset by high level language (HLL) software
14. (6.14) Multiple Register Machines
· Initially, machines had only a few registers
– 2 to 8 or 16 common
– registers more expensive than memory
· Most instructions operated between memory
locations
– results had to start from and end up in
memory, so fewer instructions
» although more complex
–means smaller programs and (supposedly)
faster execution
» fewer instructions and data to move between
memory and ALU
· But registers are much faster than memory
A–d3m0i stsimioen.se fdahsoteler.com
15. (6.15) Multiple Register Machines (continued)
· Also, many operands are reused within a
short time
–waste time loading operand again the next
time it’s needed
· Depending on mix of instructions and
operand use, having many registers may
lead to less traffic to memory and faster
execution
· Most modern machines use a multiple
register architecture
–maximum number about 512, common
number 32 integer, Admission.edhole.com 32 floating point
16. (6.16) Pipelining
· One way to speed up CPU is to increase
clock rate
– limitations on how fast clock can run to
complete instruction
· Another way is to execute more than one
instruction at one time
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17. (6.17) Pipelining
· Pipelining breaks instruction execution down
into several stages
– put registers between stages to “buffer” data
and control
– execute one instruction
– as first starts second stage, execute second
instruction, etc.
– speedup same as number of stages as long as
pipe is full
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18. (6.18) Pipelining (continued)
· Consider an example with 6 stages
– FI = fetch instruction
– DI = decode instruction
–CO = calculate location of operand
– FO = fetch operand
– EI = execute instruction
–WO = write operand (store result)
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19. (6.19) Pipelining Example
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· Executes 9 instructions in 14 cycles rather than 54 for
sequential execution
20. (6.20) Pipelining (continued)
· Hazards to pipelining
– conditional jump
» instruction 3 branches to instruction 15
» pipeline must be flushed and restarted
– later instruction needs operand being
calculated by instruction still in pipeline
» pipeline stalls until result ready
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22. (6.22) Real-life Problem
· Not all instructions execute in one clock
cycle
– floating point takes longer than integer
– fp divide takes longer than fp multiply which
takes longer than fp add
– typical values
» integer add/subtract 1
» memory reference 1
» fp add 2 (make 2 stages)
» fp (or integer) multiply 6 (make 2 stages)
» fp (or integer) divide 15
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· Break floating point unit into a sub-pipeline
– execute up to 6 instructions at once
23. (6.23) Pipelining (continued)
· This is not simple to implement
– note all 6 instructions could finish at the same time!!
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24. (6.24) More Speedup
· Pipelined machines issue one instruction
each clock cycle
– how to speed up CPU even more?
· Issue more than one instruction per clock
cycle
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25. (6.25) Superscalar Architectures
· Superscalar machines issue a variable
number of instructions each clock cycle, up
to some maximum
– instructions must satisfy some criteria of
independence
» simple choice is maximum of one fp and one
integer instruction per clock
» need separate execution paths for each
possible simultaneous instruction issue
– compiled code from non-superscalar
implementation of same architecture runs
unchanged, but slower
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26. (6.26) Superscalar Example
0 1 2 3 4 5 6 7 8 clock
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· Each instruction path may be pipelined
27. (6.27) Superscalar Problem
· Instruction-level parallelism
–what if two successive instructions can’t be
executed in parallel?
» data dependencies, or two instructions of slow
type
· Design machine to increase multiple
execution opportunities
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28. (6.28) VLIW Architectures
· Very Long Instruction Word (VLIW)
architectures store several simple instructions
in one long instruction fetched from memory
– number and type are fixed
» e.g., 2 memory reference, 2 floating point, one
integer
– need one functional unit for each possible
instruction
» 2 fp units, 1 integer unit, 2 MBRs
» all run synchronized
– each instruction is stored in a single word
» requires wider memory communication paths
» many instructions may be empty, meaning
Admiswsiaosnte.edd choodlee.c sopmace
29. (6.29) VLIW Example
Memory
Ref 1
Memory
Ref 2
FP 1 FP 2 Integer
LD F0, 0(R1) LD F6, 8(R1)
LD F10,
16(R1)
LD F14,
24(R1)
SB
R1,R1,#4
8
LD
F18,32(R1)
LD
F22,40(R1)
AD F4,F0,F2 AD F8,F6,F2
LD
F26,48(R1)
AD
F12,F10,F2
AD
F16,F14,F2
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30. (6.30) Instruction Level Parallelism
· Success of superscalar and VLIW machines
depends on number of instructions that occur
together that can be issued in parallel
– no dependencies
– no branches
· Compilers can help create parallelism
· Speculation techniques try to overcome
branch problems
– assume branch is taken
– execute instructions but don’t let them store
results until Admission.edh ostlae.tcuos mof branch is known
31. (6.31) CISC vs. RISC
· CISC = Complex Instruction Set Computer
· RISC = Reduced Instruction Set Computer
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32. (6.32) CISC vs. RISC (continued)
· Historically, machines tend to add features
over time
– instruction opcodes
» IBM 70X, 70X0 series went from 24 opcodes to
185 in 10 years
» same time performance increased 30 times
– addressing modes
– special purpose registers
· Motivations are to
– improve efficiency, since complex instructions
can be implemented in hardware and
execute faster
–make life easier for compiler writers
– support more complex higher-level languages
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33. (6.33) CISC vs. RISC
· Examination of actual code indicated many
of these features were not used
· RISC advocates proposed
– simple, limited instruction set
– large number of general purpose registers
» and mostly register operations
– optimized instruction pipeline
· Benefits should include
– faster execution of instructions commonly
used
– faster design Admission.edholea.ncdom implementation
34. (6.34) CISC vs. RISC
· Comparing some architectures
Year Instr. Instr.
Size
Addr
Modes
Registers
IBM
370/168
1973 208 2 - 6 4 16
VAX
11/780
1978 303 2 - 57 22 16
I 80486 1989 235 1 - 11 11 8
M 88000 1988 51 4 3 32
MIPS
1991 94 4 1 32
R4000
IBM 6000 1990 184 4 2 32
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35. (6.35) CISC vs. RISC
· Which approach is right?
· Typically, RISC takes about 1/5 the design
time
– but CISC have adopted RISC techniques
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